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(Fluent English) ML Engineer

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Location
Estonia
Outstaff Your Team

Job Description

Our spin-off product and team are looking for an inquisitive ML Engineer who loves to create cool products and solve difficult challenges, as well as develop new useful features.

Product:
A solution created to automate support (text communication) for popular CRM systems using ML. The product is now in production.

Team:

We already have an experienced CTO with a background in Data Science and Machine Learning, a Back-end Developer and a Digital Marketing Specialist.

Together we will:

  • Improve and maintain current solutions for support automation;
  • Develop new features after being fully familiar with the architecture;
  • Discuss the project strategy, brainstorm with the team.

Requirements

What you will need:

  • 2.5+ years of commercial experience in Machine Learning (including NLP);
  • Experience working with transforming models (usage, re-training, fine tuning);
  • Experience with Deep Learning frameworks: Pytorch, Tensorflow;
  • Solid experience with Python, OOP, Rest API (Flask, Celery);
  • Experience with Docker and Docker-compose for effective containerization and deployment strategies;
  • Good knowledge of NLP tools and libraries: NLTK, Spacy, scikit-learn, GenSim;
  • Experience with Seq2Seq models;
  • Deep understanding of theoretical concepts Language modeling, Named Entity Recognition, text classification, clustering, topic modeling, embedding, ML metrics.

Would be a plus:

  • Full immersion in Machine Learning;
  • Good sense of humor 😊

Benefits

We offer:

  • Remote work in Ukraine or in a similar time zone;
  • Cozy startup atmosphere with stability from a holding company;
  • Compensation in USD;
  • Adequate, friendly management and no bureaucracy;
  • Plenty of interesting talks and communication with the team.

Advice from our career coach

As a job seeker applying for the ML Engineer position, it is crucial to showcase not only your technical skills but also your ability to work collaboratively in a team setting. Here are some tips to stand out as an applicant:

  • Highlight your experience with Machine Learning, specifically in Natural Language Processing (NLP).
  • Showcase your proficiency in Deep Learning frameworks such as Pytorch and Tensorflow.
  • Demonstrate your expertise in Python, OOP, and Rest API, especially with Flask and Celery.
  • Emphasize your experience with Docker and Docker-compose for containerization and deployment strategies.
  • Discuss your knowledge of NLP tools and libraries like NLTK, Spacy, and scikit-learn.
  • Detail your experience with Seq2Seq models and theoretical concepts in Language Modeling, Named Entity Recognition, text classification, and more.
  • Highlight any additional qualifications such as being fully immersed in Machine Learning or having a good sense of humor.

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